Understanding Mental Models of AI through Player-AI Interaction

Jichen Zhu; Jennifer  Villareale

doi:10.48550/arXiv.2103.16168

Understanding Mental Models of AI through Player-AI Interaction

Jichen Zhu
, Jennifer Villareale

Human-AI Interaction Lab

Drexel University

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

Designing human-centered AI-driven applications require deep understandings of how people develop mental models of AI. Currently, we have little knowledge of this process and limited tools to study it. This paper presents the position that AI-based games, particularly the player-AI interaction component, offer an ideal domain to study the process in which mental models evolve. We present a case study to illustrate the beneﬁts of our approach for explainable AI.

Original language	English
Title of host publication	Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21)
Publication date	2021
Article number	11
DOIs	https://doi.org/10.48550/arXiv.2103.16168
Publication status	Published - 2021
Event	Conference on Human Factors in Computing Systems - Yokohama , Japan Duration: 8 May 2021 → 13 May 2021 Conference number: 21st http://doi/proceedings/10.1145/3411764

Conference

Conference	Conference on Human Factors in Computing Systems
Number	21st
Country/Territory	Japan
City	Yokohama
Period	08/05/2021 → 13/05/2021
Internet address	http://doi/proceedings/10.1145/3411764

Keywords

Human-centered AI
Mental models
AI-driven applications
Player-AI interaction
Explainable AI

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10.48550/arXiv.2103.16168

2103.16168(3)

https://www.researchgate.net/publication/350512179_Understanding_Mental_Models_of_AI_through_Player-AI_Interaction/fulltext/6063ea95a6fdccbfea1a5c4f/Understanding-Mental-Models-of-AI-through-Player-AI-Interaction.pdf?_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6InB1YmxpY2F0aW9uIiwicGFnZSI6InB1YmxpY2F0aW9uIn19

Cite this

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title = "Understanding Mental Models of AI through Player-AI Interaction",

abstract = "Designing human-centered AI-driven applications require deep understandings of how people develop mental models of AI. Currently, we have little knowledge of this process and limited tools to study it. This paper presents the position that AI-based games, particularly the player-AI interaction component, offer an ideal domain to study the process in which mental models evolve. We present a case study to illustrate the beneﬁts of our approach for explainable AI.",

keywords = "Human-centered AI, Mental models, AI-driven applications, Player-AI interaction, Explainable AI, Human-centered AI, Mental models, AI-driven applications, Player-AI interaction, Explainable AI",

author = "Jichen Zhu and Jennifer Villareale",

year = "2021",

doi = "10.48550/arXiv.2103.16168",

language = "English",

booktitle = "Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21)",

note = "Conference on Human Factors in Computing Systems ; Conference date: 08-05-2021 Through 13-05-2021",

url = "http://doi/proceedings/10.1145/3411764",

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T1 - Understanding Mental Models of AI through Player-AI Interaction

AU - Zhu, Jichen

AU - Villareale, Jennifer

N1 - Conference code: 21st

PY - 2021

Y1 - 2021

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AB - Designing human-centered AI-driven applications require deep understandings of how people develop mental models of AI. Currently, we have little knowledge of this process and limited tools to study it. This paper presents the position that AI-based games, particularly the player-AI interaction component, offer an ideal domain to study the process in which mental models evolve. We present a case study to illustrate the beneﬁts of our approach for explainable AI.

KW - Human-centered AI

KW - Mental models

KW - AI-driven applications

KW - Player-AI interaction

KW - Explainable AI

KW - Human-centered AI

KW - Mental models

KW - AI-driven applications

KW - Player-AI interaction

KW - Explainable AI

U2 - 10.48550/arXiv.2103.16168

DO - 10.48550/arXiv.2103.16168

M3 - Article in proceedings

BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21)

T2 - Conference on Human Factors in Computing Systems

Y2 - 8 May 2021 through 13 May 2021

ER -

Understanding Mental Models of AI through Player-AI Interaction

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Keywords

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